Model architectures for VLMs differ primarily in how visual and textual information is fused. Mid-fusion models use a pretrained vision encoder to convert images into visual tokens that are projected into a pretrained LLM’s embedding space, enabling cross-modal reasoning while leveraging components already trained on trillions of tokens. Early-fusion models process image patches and text tokens in a single model transformer, yielding richer joint representations but at significantly higher compute, memory, and data cost. We adopted a mid-fusion architecture as it offers a practical trade-off for building a performant model with modest resources.
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A recent report by The Wall Street Journal claimed that in 2025, some OpenAI employees flagged the account of the alleged shooter, Jesse Van Rootselaar, as containing potential warnings of committing real-world violence and called for leadership to notify law enforcement. Although Van Rootselaar's account was banned for policy violations, a company rep said that the account activity did not meet OpenAI's criteria for engaging the local police.